59 citations · 156 across the 5 of their papers we have counts for
5 papers
CLARE: Cognitive Load Assessment in REaltime with Multimodal Data
Anubhav Bhatti, Prithila Angkan, Behnam Behinaein +11
We present a novel multimodal dataset for Cognitive Load Assessment in REal-time (CLARE). The dataset contains physiological and gaze data from 24 participants with self-reported c…
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines
Prithila Angkan, Behnam Behinaein, Zunayed Mahmud +4
Through this paper, we introduce a novel driver cognitive load assessment dataset, CL-Drive, which contains Electroencephalogram (EEG) signals along with other physiological signal…
A Transformer Architecture for Stress Detection from ECG
Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg +2
Electrocardiogram (ECG) has been widely used for emotion recognition. This paper presents a deep neural network based on convolutional layers and a transformer mechanism to detect…
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition
Anubhav Bhatti, Behnam Behinaein, Dirk Rodenburg +2
Classification of human emotions can play an essential role in the design and improvement of human-machine systems. While individual biological signals such as Electrocardiogram (E…
Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning
Pritam Sarkar, Kyle Ross, Aaron J. Ruberto +3
Simulations are a pedagogical means of enabling a risk-free way for healthcare practitioners to learn, maintain, or enhance their knowledge and skills. Such simulations should prov…